DeepSeekDeepSeek V4 FlashVSxAIGrok 4.20
Our Take
We recommend Grok 4.20 if you need peak intelligence for reasoning and coding tasks, or the 17.1x cheaper DeepSeek V4 Flash to optimize your budget for high-volume pipelines. While Grok 4.20 holds a clear performance lead, it carries a heavy price premium. Choose Grok 4.20 for complex logic, or DeepSeek V4 Flash for budget efficiency.
▶WHY?
Benchmark Calculations & Evidence:
Coding Benchmarks: Both models were evaluated on the SWE-bench Pro benchmark. Grok 4.20 scored 51.8%, while DeepSeek V4 Flash scored 49.1%.
Reasoning Benchmarks: Both models were evaluated on the GPQA Diamond benchmark. Grok 4.20 scored 90%, while DeepSeek V4 Flash scored 80%.
Cost Efficiency: DeepSeek V4 Flash pricing ($0.14/M input, $0.28/M output) is 17.1x cheaper than Grok 4.20 ($2/M input, $6/M output).
Was this recommendation helpful?
Benchmarks & Scores
Coding (swe-bench-pro)
49.1%complex codebases, multi-file repositories, and architectural planning
Reasoning (gpqa-diamond)
80%graduate-level science QA
Cost & Context
Cost (per 1M tokens)17.1x cheaper
$0.17Input: $0.14 | Output: $0.28Context Window
1.05M tokensBenchmarks & Scores
Coding (swe-bench-pro)Winner (+2.7%)
51.8%complex codebases, multi-file repositories, and architectural planning
Reasoning (gpqa-diamond)Winner (+10.0%)
90%graduate-level science QA
Cost & Context
Cost (per 1M tokens)
$3.00Input: $2.00 | Output: $6.00Context Window
1.05M tokensFrequently Asked Questions about DeepSeek V4 Flash vs Grok 4.20
DeepSeek V4 Flash is cheaper than Grok 4.20. DeepSeek V4 Flash has a blended cost of $0.17/1M tokens, which is about 17.1x cheaper than Grok 4.20 at $3.00/1M tokens.
Grok 4.20 is better for coding tasks on this benchmark. It scores 51.8% on swe-bench-pro (complex codebases, multi-file repositories, and architectural planning) compared to DeepSeek V4 Flash which scores 49.1%.
Related Matchups
Explore similar comparisons for DeepSeek V4 Flash and Grok 4.20.
Do you want to find a model for your constraints?
Use our interactive model finder to filter LLMs by reasoning capability, coding performance, cost, and context length.